Abstract
Information Diffusion is a classical problem in Social Network Analysis, where it has been deeply investigated for single social networks. In this paper, we begin to study it in a multi-social-network scenario, where many social networks coexist and are strictly connected to each other, thanks to those users who join more social networks. In this activity, Answer Set Programming provided us with a powerful and flexible tool for an easy set-up and implementation of our investigations.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Baral, C.: Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press (2003)
Berlingerio, M., Coscia, M., Giannotti, F., Monreale, A., Pedreschi, D.: The pursuit of hubbiness: Analysis of hubs in large multidimensional networks. J. Comput. Science 2(3), 223–237 (2011)
Buccafurri, F., Foti, V.D., Lax, G., Nocera, A., Ursino, D.: Bridge analysis in a social internetworking scenario. Inf. Sci. 224, 1–18 (2013)
Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: Moving from social networks to social internetworking scenarios: The crawling perspective. Inf. Sci. 256, 126–137 (2014)
Domingos, P., Richardson, M.: Mining the network value of customers. In: Proceedings of the Seventh ACM SIGKDD KDD, San Francisco, CA, USA, August 26-29, pp. 57–66. ACM (2001)
Gelfond, M., Lifschitz, V.: Classical negation in logic programs and disjunctive databases. New Generation Comput. 9(3/4), 365–386 (1991)
Goldenberg, J., Libai, B., Muller, E.: Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing Letters 12(3), 211–223 (2001)
Granovetter, M.: Threshold models of collective behavior. New Generation Comput. 83(6), 1127–1138 (1978)
Grasso, G., Leone, N., Manna, M., Ricca, F.: Asp at work: Spin-off and applications of the dlv system. In: Balduccini, M., Son, T.C. (eds.) Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning. LNCS, vol. 6565, pp. 432–451. Springer, Heidelberg (2011)
Guille, A., Hacid, H., Favre, C., Zighed, D.A.: Information diffusion in online social networks: a survey. SIGMOD Record 42(2), 17–28 (2013)
Kempe, D., Kleinberg, J.M., Tardos, É.: Maximizing the spread of influence through a social network. In: Proceedings of the Ninth ACM SIGKDD, Washington, DC, USA, August 24-27, pp. 137–146. ACM (2003)
Leone, N., Pfeifer, G., Faber, W., Eiter, T., Gottlob, G., Perri, S., Scarcello, F.: The dlv system for knowledge representation and reasoning. ACM Trans. Comput. Log. 7(3), 499–562 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Marra, G., Nocera, A., Ricca, F., Terracina, G., Ursino, D. (2014). Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming. In: Kontchakov, R., Mugnier, ML. (eds) Web Reasoning and Rule Systems. RR 2014. Lecture Notes in Computer Science, vol 8741. Springer, Cham. https://doi.org/10.1007/978-3-319-11113-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-11113-1_15
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11112-4
Online ISBN: 978-3-319-11113-1
eBook Packages: Computer ScienceComputer Science (R0)